Julia R. Taylor

1.3k total citations · 1 hit paper
28 papers, 982 citations indexed

About

Julia R. Taylor is a scholar working on Immunology, Molecular Biology and Epidemiology. According to data from OpenAlex, Julia R. Taylor has authored 28 papers receiving a total of 982 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Immunology, 7 papers in Molecular Biology and 6 papers in Epidemiology. Recurrent topics in Julia R. Taylor's work include Immune Cell Function and Interaction (6 papers), S100 Proteins and Annexins (5 papers) and Immunotherapy and Immune Responses (4 papers). Julia R. Taylor is often cited by papers focused on Immune Cell Function and Interaction (6 papers), S100 Proteins and Annexins (5 papers) and Immunotherapy and Immune Responses (4 papers). Julia R. Taylor collaborates with scholars based in United States, United Kingdom and Australia. Julia R. Taylor's co-authors include Paul Thompson, Hong Zan, Paolo Casali, Angela Dawson, Richard Oliver, Tian Shen, Joseph G. Skeate, W. Martin Kast, Helia N. Sanchez and Justin B. Moroney and has published in prestigious journals such as Nature Communications, The Journal of Immunology and Cancer Research.

In The Last Decade

Julia R. Taylor

28 papers receiving 948 citations

Hit Papers

B cell-intrinsic epigenetic modulation of antibody respon... 2020 2026 2022 2024 2020 50 100 150 200 250

Peers

Julia R. Taylor
Comparison fields: 5 of 114
  • Molecular Biology 381
  • Epidemiology 214
  • Immunology 201
  • Surgery 177
  • Orthopedics and Sports Medicine 167
Elisabeth Maier Austria
Yoshiko Nagano Japan
Natali Bauer Germany
Sylvette Bas Switzerland
Yusuke Ueda Japan
Carmel T. Mooney Ireland
T. Helve Finland
M. Judith Radin United States
P Watkins United Kingdom
Masahiro Abe Japan
Elisabeth Maier Austria View profile →
Citations per field, relative to Julia R. Taylor
Julia R. Taylor · 1×
Citations per year, relative to Julia R. Taylor
Julia R. Taylor · 1×

Countries citing papers authored by Julia R. Taylor

Since Specialization
Citations

This map shows the geographic impact of Julia R. Taylor's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Julia R. Taylor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia R. Taylor more than expected).

Fields of papers citing papers by Julia R. Taylor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julia R. Taylor. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Julia R. Taylor. The network helps show where Julia R. Taylor may publish in the future.

Co-authorship network of co-authors of Julia R. Taylor

This figure shows the co-authorship network connecting the top 25 collaborators of Julia R. Taylor. A scholar is included among the top collaborators of Julia R. Taylor based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Julia R. Taylor. Julia R. Taylor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 3
2 9
3
B cell-intrinsic epigenetic modulation of antibody responses by dietary fiber-derived short-chain fatty acids breakdown →
256
4 2
5 1
6 50
7 7
8 43
9 7
10 27
11 40
12 23
13 37
14 13
15 20
16 13
17 120
18 92
19 63
20
Management of recurrent basal cell epithelioma.
1

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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